The Impact of a Deep Learning Self-Adaptive Colour Restoration Pipeline for Deep Underwater Images in 3D Reconstruction

A systematic framework for delineating Hydrological Response Units (HRUs) is proposed, based on a modified Curve Number (CN) approach that accounts, by means of classes, for the soil permeability, land cover, and drainage capacity of a river basin. The aim is to reduce the subjectivity introduced by HRUs and provide a parsimonious modelling scheme. Results showed optimal performance of the CN approach in calibration and particularly in validation, compared against alternative HRU approaches.

The objective of this paper is to present a general integrated framework to evaluate land suitability for the optimal placement of solar park, which is based on a combination of a GIS, remote sensing techniques, and multi-criteria decision-making methods. Innovative aspect derives from the proposed tool as currently implemented within a local GIS, which provides a versatile platform of analysis and semi-automation of the operations, which might also extended into full automation.